Cited by 295Retinal Diseases and TreatmentsHealth Systems, Economic Evaluations, Quality of LifeRetinal Imaging and Analysis

Cost-Utility Analysis of Screening Intervals for Diabetic Retinopathy in Patients With Type 2 Diabetes Mellitus

Vijan, Sandeep·2000·JAMA

Abstract

Context Annual eye screening for patients with diabetes mellitus is frequently proposed as a measure of quality of care. However, the benefit of annual vs less frequent screening intervals has not been well evaluated, especially for low-risk patients. Objective To examine the marginal cost-effectiveness of various screening intervals for eye disease in patients with type 2 diabetes, stratified by age and level of glycemic control. Design Markov cost-effectiveness model. Setting and participants Hypothetical patients based on the US population of diabetic patients older than 40 years from the Third National Health and Nutrition Examination Survey. Main outcome measures Patient time spent blind, quality-adjusted life-years (QALYs), and costs of annual vs less frequent screening compared by age and level of hemoglobin A1c. Results Retinal screening in patients with type 2 diabetes is an effective intervention; however, the risk reduction varies dramatically by age and level of glycemic control. On average, a high-risk patient who is aged 45 years and has a hemoglobin A1c level of 11% gains 21 days of sight when screened annually as opposed to every third year, while a low-risk patient who is aged 65 years and has a hemoglobin A1c level of 7% gains an average of 3 days of sight. The marginal cost-effectiveness of screening annually vs every other year also varies; patients in the high-risk group cost an additional $40530 per QALY gained, while those in the low-risk group cost an…

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Crossref · 10.1001/jama.283.7.889

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  • Patients with referable DR who are missed face a 4.5-fold higher annual risk of progressing to blindness compared to those who receive appropriate treatment.

    “From a public health perspective, reduced sensitivity in DR screening results in misdiagnosed patients with referable DR, missing opportunity for timely intervention, and facing a 4.5-fold higher risk of progressing to blindness annually when compared to those who receive appropriate treatment20,21.”
  • Reduced sensitivity in DR screening results in missed diagnosis of referable DR and missed timely intervention.

    “From a public health perspective, reduced sensitivity in DR screening results in misdiagnosed patients with referable DR, missing opportunity for timely intervention, and facing a 4.5-fold higher risk of progressing to blindness annually when compared to those who receive appropriate treatment20,21.”

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Authors
Vijan, S.
Affiliations
University of Michigan (US)
Corresponding author
Vijan, Sandeep
Venue
JAMA
Published
2000-02-16
Volume
283
Issue
7
Pages
889
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W2061918877
Cited by
295
References
2
Citations by year
2026: 2 · 2025: 2 · 2024: 9 · 2023: 17 · 2022: 7 · 2021: 6 · 2020: 7 · 2019: 7 · 2018: 10 · 2017: 6 · 2016: 10 · 2015: 16 · 2014: 10 · 2013: 14 · 2012: 17
FWCI
19.74
Type
journal article
Language
en
Open access
closed
Locations
  • JAMA (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of Diabetes and Digestive and Kidney Diseases (P60DK020572, P60 DK 20572)
Topics
  • Health Sciences › Medicine › Ophthalmology › Retinal Diseases and Treatments
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Retinal Imaging and Analysis
Keywords
diabetic retinopathy, type 2 diabetes, retinal screening, screening frequency, cost-effectiveness, quality-adjusted life years, glycemic control, HbA1c, blindness prevention, age-stratified risk, healthcare quality standards
MeSH terms
Adult, Aged, Blood Glucose, Cost-Benefit Analysis, Diabetes Mellitus, Type 2, Diabetic Retinopathy, Glycated Hemoglobin, Humans, Markov Chains, Mass Screening, Middle Aged, Population Surveillance, Risk Factors, United States, Multivariate Analysis, Quality-Adjusted Life Years

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